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Interaction Between Trunk and Gait Performance in Both Healthy Adults and Stroke Patients

Interaction Between Trunk and Gait Performance in Both Healthy Adults and Stroke Patients

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03065153
Enrollment
114
Registered
2017-02-27
Start date
2015-04-01
Completion date
2017-12-01
Last updated
2018-05-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Gait, Hemiplegic, Healthy, Stroke

Keywords

Torso, Trunk

Brief summary

The aim is to investigate the biomechanical interaction between trunk and gait performance in both healthy and stroke subjects. People after stroke often have an impaired trunk function, resulting in balance and gait disorders. Pathological movement patterns after stroke can be compared with normative data as motion capture systems provide more sensitive data to explore the interaction between trunk performance and gait in contrast to the clinical measures used in literature.

Detailed description

Evidence has shown that trunk performance is related to measures of balance, gait and functional ability. Yet, several aspects of trunk performance such as sitting balance, trunk muscle strength, selective trunk movements and trunk position sense are impaired after stroke. This implies that impaired trunk performance will inevitably lead to impaired postural control during activities performed while standing and walking. Nonetheless, the interaction between increased trunk performance and improvements in activities performed while standing and walking is not evident. It has previously been stated that therapy primarily induces treatment effects on the abilities at which training is specifically aimed. However, previous research has shown that additional trunk exercises improve not only trunk performance but also standing balance and mobility. Yet, the clinical outcome measures used in previous studies are not suitable to explore the relationship between trunk and gait performance and cannot explain the underlying mechanisms of the therapeutic effects. Since studies using sensitive motion analyses to investigate trunk biomechanics during gait are sparse in both healthy subjects and subjects with stroke. Data will be gathered by a Vicon analysis system (©Vicon Motion Systems Ltd., London, UK) with a measuring frequency of 100 Hz and eight infrared automated cameras (Vicon T10 cameras, 100 fps, 1 Megapixel) measured the 3D coordinates of the reflective markers. In addition, initial contact and toe off were defined based on the ankle trajectories of the reflective markers together with 3 AMTI type OR 6-7 force plates (1000 fps, 46x50x8 cm) and 1 AccuGait® (1000 fps) force plate recordings. Reflective motion trackers were attached to anatomical landmarks on the participant's body according to the standard Plug-In-Gait model. Furthermore, a 16 channel telemetric wireless EMG system (Arion Zerowire) will measure muscle activity.

Interventions

None listed

Sponsors

Rehabilitation Hospital RevArte
CollaboratorUNKNOWN
Universiteit Antwerpen
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
19 Years to 85 Years
Healthy volunteers
Yes

Inclusion criteria

Stroke: 1. haemorrhagic or ischaemic stroke diagnosis, confirmed on the basis of CT or MRI imaging; 2. no known history of previous stroke; 3. stroke onset within five months; 4. patients are between 18 and 85 years of age;

Exclusion criteria

Stroke: 1. A score of 20 or higher on the Trunk Impairment Scale which indicates normal truncal function; 2. A score lower than two on the Functional Ambulation Categories (FAC) as patients needed to be able to ambulate without physical support to ensure that gait analysis can be executed safely; 3. Not able to sit independently for 30 seconds on a stable surface; 4. They suffer from other neurological and orthopaedic disorders that could influence motor performance and balance; 5. not able to understand instructions.

Design outcomes

Primary

MeasureTime frameDescription
Continous relative phase (of the trunk) by means of 3D full body gait analysisOnce, in the week of inclusionPhase difference of the upper and lower trunk in the transverse plane which assesses trunk coordination

Secondary

MeasureTime frameDescription
Lateral trunk displacements by means of 3D full body gait analysis (mm)Once, in the week of inclusionMedio-lateral movements of the upper and lower trunk in the frontal plane
Vertical trunk displacements by means of 3D full body gait analysis (mm)Once, in the week of inclusionUp- and downward movements of the upper and lower trunk in the frontal plane
Anteroposterior trunk displacements by means of 3D full body gait analysis (mm)Once, in the week of inclusionForward and backward movements of the upper and lower trunk in the sagittal plane

Other

MeasureTime frameDescription
% stanceOnce, in the week of inclusion
Walking speedOnce, in the week of inclusion(m/s)
Erector Spinae muscle activity (EMG)Once, in the week of inclusionThe amplitude and timing of muscle contractions
Step lengthOnce, in the week of inclusion(m)
Step timeOnce, in the week of inclusion(s)
Step widthOnce, in the week of inclusion(m)

Countries

Belgium

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026